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Magnetic Signatures

creativelivenew1 05 October 2026 0 0

Magnetic Signatures: Advanced Analysis for Modern Systems
English | 2026 | ISBN: 3032126886 | 359 Pages | PDF EPUB (True) | 46 MB
This book explores spatial harmonic analysis (SHA) for characterizing and analyzing external magnetic fields in technical systems. Its strong emphasis on addressing real engineering challenges and a practical focus on both spherical and spheroidal harmonics set it apart, with the latter being valuable for analyzing objects with high aspect ratios. The content is particularly applicable to naval and spacecraft applications, as well as the rapidly growing field of autonomous unmanned vehicles, including aerial, surface, and underwater vehicles. In these contexts, precise control of magnetic signatures is crucial for navigation, detection avoidance, and overall operational effectiveness. The author presents multiple original concepts, including fast algorithms for spheroidal harmonic functions, which make them computationally feasible for real-world applications. Additionally, the use of magnetic energy as a general metric for the magnetic intensity of a given device is explored, as well as isodynamic surfaces to identify regions of maximum magnetic field extension.

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Machine Learning for Trading - Third Edition (Early Access)

creativelivenew1 05 October 2026 0 0

Machine Learning for Trading - Third Edition
English | 2026 | ISBN: 9781803246970 | 131 Pages | EPUB | 11 MB
The rapid rise of AI and the growing complexity of financial markets have transformed quantitative trading into a data-driven, process-oriented discipline. This third edition provides a comprehensive blueprint for designing, validating, and deploying systematic trading strategies powered by modern machine learning.

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Machine Learning Systems

creativelivenew1 05 October 2026 0 0

Machine Learning Systems: The Role of Hardware Design for Dependable Computing
English | 2026 | ISBN: 3032179475 | 429 Pages | PDF EPUB (True) | 77 MB
This book addresses the technological contributions and developments of advanced hardware for Machine Learning (ML) computing systems. The authors discuss state-of-the-art progress in this area (and related topics) as well as reporting on their application to diverse fields. This is achieved by chapters covering the entire spectrum of research activities to include design and applications, with a focus on high performance and dependable operation. The entire hardware stack (from circuit, to architecture, up to the system level) is discussed in detail. The book will cover innovative material as well as tutorials, reviews and surveys of current theoretical/experimental results, design methodologies and applications over a wide spectrum of scope for an enlarged readership, so to include engineers as well as scientists.

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Machine Learning For Dummies

creativelivenew1 05 October 2026 0 0

Machine Learning For Dummies
English | 2016 | ISBN: 1119245516 | 435 Pages | PDF EPUB (True) | 14 MB
Machine learning can be a mind-boggling concept for the masses, but those who are in the trenches of computer programming know just how invaluable it is. Without machine learning, fraud detection, web search results, real-time ads on web pages, credit scoring, automation, and email spam filtering wouldn't be possible, and this is only showcasing just a few of its capabilities. Written by two data science experts, Machine Learning For Dummies offers a much-needed entry point for anyone looking to use machine learning to accomplish practical tasks.

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ML and Generative AI in the Data Lakehouse

creativelivenew1 05 October 2026 0 0

ML and Generative AI in the Data Lakehouse: Building and Deploying AI Applications at Scale
English | 2026 | ISBN: 1098178491 | 556 Pages | EPUB | 12 MB
In today's race to harness generative AI, many teams struggle to integrate these advanced tools into their business systems. While platforms like GPT-4 and Google's Gemini are powerful, they aren't always tailored to specific business needs. This book offers a practical guide to building scalable, customized AI solutions using the full potential of data lakehouse architecture.